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The final chapter introduces classical time-series analysis and how it applies to business and economics.

In addition, the author develops the concepts behind the linear relationship between two numeric variables (simple regression) as well as the potentially nonlinear relationships among more than two variables (multiple regression). The text also discusses hypothesis testing for one and two samples, contingency tables, goodness-of-fit, analysis of variance, and population variances. It covers basic probability tools, Bayes’ theorem, sampling, estimation, and confidence intervals. Four distinct objectives have been met to follow this premise: Objective 1: Communicate the Meaning of Variation in a BusinessContext Objective 2: Use Real Data and Real Business Applications Objective 3: Incorporate Current Statistical Practices and Offer Practical Advice Objective 4: Provide More In-Depth Explanation of the Why and Let the Software Take Care of the How The emphasis of the 4th edition remains the same: thinking about data, choosing appropriate analytic tools, using computers effectively, and recognising limitations of statistics. Author by: Lori Seward Languange: en Publisher by: McGraw-Hill Education Format Available: PDF, ePub, Mobi Total Read: 78 Total Download: 263 File Size: 43,6 Mb Description: The 4th Edition of Applied Statistics in Business & Economics provides real meaning to the use of statistics in real world by using real business situations and real data while appealing students to know why rather than just the how. Mason, Levin/Rubin, Mann, Trioloa/Franklin and Anderson/Sweeney/Williams Essentials.